PSYCH OpenIR  > 脑与认知科学国家重点实验室
The role of edge-based and surface-based information in natural scene categorization: Evidence from behavior and event-related potentials
Fu, Qiufang1; Liu, Yong-Jin2; Dienes, Zoltan3,4; Wu, Jianhui1; Chen, Wenfeng1; Fu, Xiaolan1
2016-07-01
Source PublicationCONSCIOUSNESS AND COGNITION
ISSN1053-8100
SubtypeArticle
Volume43Issue:6Pages:152-166
AbstractA fundamental question in vision research is whether visual recognition is determined by edge-based information (e.g., edge, line, and conjunction) or surface-based information (e.g., color, brightness, and texture). To investigate this question, we manipulated the stimulus onset asynchrony (SOA) between the scene and the mask in a backward masking task of natural scene categorization. The behavioral results showed that correct classification was higher for line-drawings than for color photographs when the SOA was 13 ms, but lower when the SOA was longer. The ERP results revealed that most latencies of early components were shorter for the line-drawings than for the color photographs, and the latencies gradually increased with the SOA for the color photographs but not for the line-drawings. The results provide new evidence that edge-based information is the primary determinant of natural scene categorization, receiving priority processing; by contrast, surface information takes longer to facilitate natural scene categorization. (C) 2016 Elsevier Inc. All rights reserved.
KeywordNatural Scene Categorization Edge-based Theory Surface-based Theory Soa Erps
DOI10.1016/j.concog.2016.06.008
Indexed BySSCI
Language英语
Funding OrganizationNatural Science Foundation of China(31270024 ; Royal Society-Newton Advanced Fellowship ; 61521002 ; 61661130156)
WOS Research AreaPsychology
WOS SubjectPsychology, Experimental
WOS IDWOS:000379795100015
WOS HeadingsSocial Sciences
WOS KeywordOBJECT RECOGNITION ; GIST RECOGNITION ; BACKWARD-MASKING ; VISUAL-SYSTEM ; TIME-COURSE ; FILLING-IN ; COLOR ; PATTERN ; MEMORY ; STATISTICS
Citation statistics
Cited Times:4[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.psych.ac.cn/handle/311026/20212
Collection脑与认知科学国家重点实验室
Affiliation1.Chinese Acad Sci, Inst Psychol, State Key Lab Brain & Cognit Sci, Beijing 100101, Peoples R China
2.Tsinghua Univ, Dept Comp Sci & Technol, Tsinghua Natl Lab Informat Sci & Technol, Beijing 100084, Peoples R China
3.Univ Sussex, Sackler Ctr Consciousness Sci, Brighton BN1 9QH, E Sussex, England
4.Univ Sussex, Sch Psychol, Brighton BN1 9QH, E Sussex, England
Recommended Citation
GB/T 7714
Fu, Qiufang,Liu, Yong-Jin,Dienes, Zoltan,et al. The role of edge-based and surface-based information in natural scene categorization: Evidence from behavior and event-related potentials[J]. CONSCIOUSNESS AND COGNITION,2016,43(6):152-166.
APA Fu, Qiufang,Liu, Yong-Jin,Dienes, Zoltan,Wu, Jianhui,Chen, Wenfeng,&Fu, Xiaolan.(2016).The role of edge-based and surface-based information in natural scene categorization: Evidence from behavior and event-related potentials.CONSCIOUSNESS AND COGNITION,43(6),152-166.
MLA Fu, Qiufang,et al."The role of edge-based and surface-based information in natural scene categorization: Evidence from behavior and event-related potentials".CONSCIOUSNESS AND COGNITION 43.6(2016):152-166.
Files in This Item:
File Name/Size DocType Version Access License
2016-The role of edg(2700KB)期刊论文作者接受稿限制开放CC BY-NC-SAView Application Full Text
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Fu, Qiufang]'s Articles
[Liu, Yong-Jin]'s Articles
[Dienes, Zoltan]'s Articles
Baidu academic
Similar articles in Baidu academic
[Fu, Qiufang]'s Articles
[Liu, Yong-Jin]'s Articles
[Dienes, Zoltan]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Fu, Qiufang]'s Articles
[Liu, Yong-Jin]'s Articles
[Dienes, Zoltan]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: 2016-The role of edge-based and surface-based information in natural scene categorization.pdf
Format: Adobe PDF
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.